Published June 3, 2026 | Version v1
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Artificial Intelligence in Clinical Trials Development: A Systematic Approach and Overview

Description

Clinical trials are crucial for advancing medications that are safe, reliable, and successful. Clinical trials are time-consuming processes that involve patient recruiting, enrollment, ongoing monitoring, medical compliance, and retention. High failure rates in clinical trials result in an ineffective drug development cycle, resulting in increased pharmaceutical industry expenditures. Artificial Intelligence helps decision-makers to evaluate clinical trials in real-life situations, which boosts trial accuracy, reduces the burden on the pharmaceutical industry, and increases trial success rates. By means of AI tooling, automatic data can be created and maintained that includes the complete medical history of the patient. AI can intelligently assess data and generate the requisite analytical reports. This article explains how Artificial Intelligence has revolutionized the field of clinical trials and proves to be a boon in terms of future aspects.

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